摘要
从奥运会历史数据中发现时序关联,建立预测模型具有深远意义。研究中使用时间序列分析,以法国历届奥运会奖牌数作为实验数据,在R语言下实现了时间序列模型的建立、检验并预测出法国下届奥赛的奖牌数。研究结果表明:将时间序列分析应用于奥运会成绩的挖掘具有一定的科学性,但时间序列分析适用于简单、稳定、具有周期性的数据,为了更充分高效地对奥赛成绩进行预测,应该全面考虑相关因素,并将多种分析方法结合使用。
It is of great significance to establish the prediction model from the historical data of Olympic Games.In the research,the time series analysis is used and the experiment is based on the France??s historical data of medals,according to the time series analysis principal,the establish,test,and the prediction of France??s medals on the next Olympic Games is realized in R.The results shows:using time series analysis on mining the Olympic Games historical data is somewhat meaningful,but time series analysis is adapted to data that are simple,stable and periodic.To predict more efficiently,it??s important to consider all the related factors,and use multiple ways to predict.
作者
李响
LI Xiang(The School Affiliated to Liaoning Normal University,Dalian 116023)
出处
《计算机与数字工程》
2018年第3期533-536,545,共5页
Computer & Digital Engineering
关键词
时间序列
奥运会
预测
数据挖掘
time series,olympic games,prediction,data mining
